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Radar Target Recognition Method Based on Large Boundary Nonlinear Discriminant Projection Model

A radar target, nonlinear technology, applied in the radar field, can solve the problems of indistinguishable subspace and classifier learning, and achieve the effect of simplifying the solution complexity, avoiding conflicts, and improving the classification performance

Active Publication Date: 2017-11-21
XIDIAN UNIV +1
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Problems solved by technology

[0005] The purpose of the present invention is to propose a radar target recognition method based on a large-boundary nonlinear discriminant projection model to solve the nonlinear classification problem that the prior art cannot learn the discriminant subspace and the classifier together under the Bayesian framework , to improve the recognition rate of classification

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  • Radar Target Recognition Method Based on Large Boundary Nonlinear Discriminant Projection Model
  • Radar Target Recognition Method Based on Large Boundary Nonlinear Discriminant Projection Model
  • Radar Target Recognition Method Based on Large Boundary Nonlinear Discriminant Projection Model

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Embodiment Construction

[0040] refer to figure 1 , the radar target recognition method based on the nonlinear discriminant projection model of the large boundary of the present invention, its specific implementation steps are as follows:

[0041] Step 1: Receive the HRRP data of the high-resolution range image of the radar target to generate training data.

[0042] 1a) The radar receives the high-resolution range images of C types of targets, extracts features from these high-resolution range images, and obtains the power spectrum feature x of each high-resolution range image n , using the power spectrum features of these high-resolution range images to form a training sample set X={x 1 ,x 2 ,...x n ,...x N},x n It is the nth training sample in the training set X, n=1, 2,...N, N represents the total number of samples in the training sample set X;

[0043] 1b) with y={y 1 ,y 2 ,...,y n ,...,y N} to record the category label of each training sample in the training sample set X, y n ∈{1,2,…,C...

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Abstract

The invention discloses a radar target identification method based on a large-boundary nonlinear discrimination projection model and mainly solves a problem that nonlinear separable data cannot be well classified in the prior art. The method comprises technical steps of: 1, extracting a power spectrum signature sample set X of radar data; 2 computing a kernel function matrix G of a training sample set; 3 constructing a large-boundary nonlinear discrimination projection model in order to obtain a united condition posteriori distribution of various parameters in the module; deriving the condition posteriori distribution of each parameter; 5 setting the prior initial value of each parameter and performs cyclic sampling on each parameter I0 times; 6 saving a sampling result of a parameter required in a T0 test stage; computing a hidden variable Zn by using the saved data; and 8, substituting the hidden variable Zn into a LVSVM classifier to obtain a target category number of a tested sample. The method improves the separability of original data space, classifies the nonlinear separable data, and is used for identifying a radar target.

Description

technical field [0001] The invention belongs to the technical field of radar, and relates to a radar high-resolution range profile HRRP target recognition method based on a large boundary nonlinear discriminant projection model, which can be used for classifying and recognizing aircraft, ships and vehicles in the radar high-resolution range profile. Background technique [0002] Radar target recognition is a technical means used by radar to identify targets that have been found in its search volume. The principle is to use the radar echo signal of the target to realize the judgment of the target type. Broadband radar usually works in the optical region. At this time, the radar target can be regarded as composed of a large number of scattering points with different intensities. The high-resolution range profile HRRP is the vector sum of the echo signals of each scattering point on the target body obtained by using broadband radar signals. It reflects the distribution of scatt...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41
CPCG01S7/415
Inventor 陈渤肖定坤文伟
Owner XIDIAN UNIV
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